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A Probabilistic Model of Fuzzy Clustering Ensemble. / Berikov, V. B.

In: Pattern Recognition and Image Analysis, Vol. 28, No. 1, 01.01.2018, p. 1-10.

Research output: Contribution to journal › Article › peer-review

Harvard

Berikov, VB 2018, 'A Probabilistic Model of Fuzzy Clustering Ensemble', Pattern Recognition and Image Analysis, vol. 28, no. 1, pp. 1-10. https://doi.org/10.1134/S1054661818010029

APA

Berikov, V. B. (2018). A Probabilistic Model of Fuzzy Clustering Ensemble. Pattern Recognition and Image Analysis, 28(1), 1-10. https://doi.org/10.1134/S1054661818010029

Vancouver

Berikov VB. A Probabilistic Model of Fuzzy Clustering Ensemble. Pattern Recognition and Image Analysis. 2018 Jan 1;28(1):1-10. doi: 10.1134/S1054661818010029

Author

Berikov, V. B. / A Probabilistic Model of Fuzzy Clustering Ensemble. In: Pattern Recognition and Image Analysis. 2018 ; Vol. 28, No. 1. pp. 1-10.

BibTeX

@article{7efd20b6dfe64d6eb8396aae1f4f48fd,
title = "A Probabilistic Model of Fuzzy Clustering Ensemble",
abstract = "A probabilistic model of clustering ensemble based on a collection of fuzzy clustering algorithms and a weighted co-association matrix is proposed. An expression for the upper bound of the misclassification probability of an arbitrary pair of objects is obtained depending on the characteristics of the ensemble. This expression is used to determine the optimal weights of the algorithms.",
keywords = "collective decision-making, fuzzy cluster analysis, misclassification probability",
author = "Berikov, {V. B.}",
year = "2018",
month = jan,
day = "1",
doi = "10.1134/S1054661818010029",
language = "English",
volume = "28",
pages = "1--10",
journal = "Pattern Recognition and Image Analysis",
issn = "1054-6618",
publisher = "Maik Nauka Publishing / Springer SBM",
number = "1",

}

RIS

TY - JOUR

T1 - A Probabilistic Model of Fuzzy Clustering Ensemble

AU - Berikov, V. B.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - A probabilistic model of clustering ensemble based on a collection of fuzzy clustering algorithms and a weighted co-association matrix is proposed. An expression for the upper bound of the misclassification probability of an arbitrary pair of objects is obtained depending on the characteristics of the ensemble. This expression is used to determine the optimal weights of the algorithms.

AB - A probabilistic model of clustering ensemble based on a collection of fuzzy clustering algorithms and a weighted co-association matrix is proposed. An expression for the upper bound of the misclassification probability of an arbitrary pair of objects is obtained depending on the characteristics of the ensemble. This expression is used to determine the optimal weights of the algorithms.

KW - collective decision-making

KW - fuzzy cluster analysis

KW - misclassification probability

UR - http://www.scopus.com/inward/record.url?scp=85044100813&partnerID=8YFLogxK

U2 - 10.1134/S1054661818010029

DO - 10.1134/S1054661818010029

M3 - Article

AN - SCOPUS:85044100813

VL - 28

SP - 1

EP - 10

JO - Pattern Recognition and Image Analysis

JF - Pattern Recognition and Image Analysis

SN - 1054-6618

IS - 1

ER -

ID: 12156078